no code implementations • 13 Jul 2023 • Kai Li, Billy Pik Lik Lau, Xin Yuan, Wei Ni, Mohsen Guizani, Chau Yuen
In recent years, ubiquitous semantic Metaverse has been studied to revolutionize immersive cyber-virtual experiences for augmented reality (AR) and virtual reality (VR) users, which leverages advanced semantic understanding and representation to enable seamless, context-aware interactions within mixed-reality environments.
no code implementations • 1 Dec 2022 • Zann Koh, Yuren Zhou, Billy Pik Lik Lau, Ran Liu, Keng Hua Chong, Chau Yuen
We propose a new mobility metric, Daily Characteristic Distance, and use it to generate features for each user together with Origin-Destination matrix features.
no code implementations • 28 Sep 2021 • Kate Qi Zhou, Yan Qin, Billy Pik Lik Lau, Chau Yuen, Stefan Adams
The state of health (SOH) estimation plays an essential role in battery-powered applications to avoid unexpected breakdowns due to battery capacity fading.
no code implementations • 4 May 2021 • Sumudu HasalaMarakkalage, Billy Pik Lik Lau, Yuren Zhou, Ran Liu, Chau Yuen, Wei Quin Yow, Keng Hua Chong
We propose a system architecture to scan the surrounding WiFi AP, and perform unsupervised learning to demonstrate that it is possible to identify three major insights, namely the indoor POI within a building, neighbourhood activity, and micro-mobility of the users.
no code implementations • 22 Dec 2020 • Zann Koh, Yuren Zhou, Billy Pik Lik Lau, Chau Yuen, Bige Tuncer, Keng Hua Chong
Information about the spatiotemporal flow of humans within an urban context has a wide plethora of applications.
no code implementations • 10 Dec 2020 • Nipun Wijerathne, Billy Pik Lik Lau, Benny Kai Kiat Ng, Chau Yuen
In this paper, we study the implementation of low-cost analogue sound sensors to detect outdoor activities and estimate the raining period in an urban residential area.
no code implementations • 5 Feb 2020 • Yuren Zhou, Billy Pik Lik Lau, Zann Koh, Chau Yuen, Benny Kai Kiat Ng
In this paper, therefore, we propose a comprehensive data analysis framework to fully analyze the collected probe requests to extract three types of patterns related to crowd behaviors in a large social event, with the help of statistics, visualization, and unsupervised machine learning.